Free Book: Lecture Notes on Machine Learning
Lecture notes for the Statistical Machine Learning course taught at the Department of Information Technology, University of Uppsala (Sweden.) Updated in March 2019. Aut...
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Funny: Medical Diagnostic and Treatment Algorithm – IBM Watson
Interesting cartoon featuring the decision tree used in medical diagnosis. To see other cartoons about data science, follow this link....
Frequencies in Pandas Redux
A little less than a year ago, I posted a blog on generating multivariate frequencies with the Python Pandas data management library, at the same time showcasing Pyt...
What is the Difference Between Hadoop and Spark?
Hadoop and Spark are software frameworks from Apache Software Foundation that are used to manage ‘Big Data’. There is no particular threshold size which classi...
Causality – The Next Most Important Thing in AI/ML
Summary: Finally there are tools that let us transcend ‘correlation is not causation’ and identify true causal factors and their relative strengths in our models....
Some Fun with Gentle Chaos, the Golden Ratio, and Stochastic Number Theory
So many fascinating and deep results have been written about the number (1 + SQRT(5)) / 2 and its related sequence – the Fibonacci numbers – that it would tak...
How a Data Catalog Connects the What and the Why
“Technology is nothing in itself. What’s important is that you have faith in people, that they’re basically good and smart, and if you give them to...
What is Augmented Analytics and Can it Add Value to Business Intelligence?
The Merriam-Webster dictionary defines the word ‘augment’ this way: ‘to make greater, more numerous, larger or more intense’. If you are wondering...
Free book – learn azure in a month of lunches – covering Cloud, AI, devops etc
At the Data Science for IoT course at the University of Oxford – I have been working on a strategy implementing Artificial Intelligence holistically on the Cloud and...
Causality – The Next Most Important Thing in AI/ML
Summary: Finally there are tools that let us transcend ‘correlation is not causation’ and identify true causal factors and their relative strengths in our models. ...